Added files needed for the GestureRecognizer API implementation
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# Copyright 2022 The MediaPipe Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Tests for gesture recognizer."""
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import enum
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from absl.testing import absltest
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from absl.testing import parameterized
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from mediapipe.python._framework_bindings import image as image_module
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from mediapipe.tasks.python.components.containers import rect as rect_module
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from mediapipe.tasks.python.components.containers import classification as classification_module
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from mediapipe.tasks.python.components.containers import landmark as landmark_module
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from mediapipe.tasks.python.core import base_options as base_options_module
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from mediapipe.tasks.python.test import test_utils
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from mediapipe.tasks.python.vision import gesture_recognizer
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from mediapipe.tasks.python.vision.core import vision_task_running_mode as running_mode_module
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_BaseOptions = base_options_module.BaseOptions
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_NormalizedRect = rect_module.NormalizedRect
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_ClassificationList = classification_module.ClassificationList
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_LandmarkList = landmark_module.LandmarkList
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_NormalizedLandmarkList = landmark_module.NormalizedLandmarkList
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_Image = image_module.Image
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_GestureRecognizer = gesture_recognizer.GestureRecognizer
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_GestureRecognizerOptions = gesture_recognizer.GestureRecognizerOptions
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_GestureRecognitionResult = gesture_recognizer.GestureRecognitionResult
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_RUNNING_MODE = running_mode_module.VisionTaskRunningMode
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_GESTURE_RECOGNIZER_MODEL_FILE = 'gesture_recognizer.task'
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_IMAGE_FILE = 'right_hands.jpg'
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_EXPECTED_DETECTION_RESULT = _GestureRecognitionResult([], [], [], [])
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class ModelFileType(enum.Enum):
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FILE_CONTENT = 1
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FILE_NAME = 2
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class GestureRecognizerTest(parameterized.TestCase):
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def setUp(self):
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super().setUp()
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self.test_image = _Image.create_from_file(
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test_utils.get_test_data_path(_IMAGE_FILE))
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self.gesture_recognizer_model_path = test_utils.get_test_data_path(
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_GESTURE_RECOGNIZER_MODEL_FILE)
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@parameterized.parameters(
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(ModelFileType.FILE_NAME, _EXPECTED_DETECTION_RESULT),
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(ModelFileType.FILE_CONTENT, _EXPECTED_DETECTION_RESULT))
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def test_recognize(self, model_file_type, expected_recognition_result):
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# Creates gesture recognizer.
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if model_file_type is ModelFileType.FILE_NAME:
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gesture_recognizer_base_options = _BaseOptions(
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model_asset_path=self.gesture_recognizer_model_path)
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elif model_file_type is ModelFileType.FILE_CONTENT:
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with open(self.gesture_recognizer_model_path, 'rb') as f:
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model_content = f.read()
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gesture_recognizer_base_options = _BaseOptions(
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model_asset_buffer=model_content)
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else:
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# Should never happen
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raise ValueError('model_file_type is invalid.')
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options = _GestureRecognizerOptions(
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base_options=gesture_recognizer_base_options)
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recognizer = _GestureRecognizer.create_from_options(options)
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# Performs hand gesture recognition on the input.
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recognition_result = recognizer.recognize(self.test_image)
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# Comparing results.
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self.assertEqual(recognition_result, expected_recognition_result)
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# Closes the gesture recognizer explicitly when the detector is not used in
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# a context.
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recognizer.close()
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if __name__ == '__main__':
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absltest.main()
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